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Batch Results has 12 facts recorded in Dontopedia across 5 references, with 1 live disagreement.
Mostly:rdf:type(5), is list(1), extended by(1)
extendedByrdfs:labelderivedFromcreatedFromOther subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. “X motherOf this subject” — and answer questions the forward facts can't. Grouped by predicate.
extendsExtends(3)ex:batch_analyze_feedbackex:resultsex:resultsaccumulatesAccumulates(1)ex:results-listextendsResultsExtends Results(1)ex:process_batchTimeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
doc:beam/d477eb96-b50c-45ea-ad52-922235fbbd94except OSError as e: logging.error(f"Failed to load SpaCy model: {e}") raise # Define a class to handle language tokenization class LanguageTokenizer: def __init__(self): self.nlp = nlp @lru_cache(maxsize=1000) …
doc:beam/e04766e0-b70f-4cd4-93df-3375bb36ef45results.extend(batch_results.cpu().numpy()) return results # Parallel processing def parallel_infer(texts, num_workers=4): with ThreadPoolExecutor(max_workers=num_workers) as executor: results = list(executor.map(in…
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